Alternative data datasets
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Data from legally mandated personal finance disclosure documents
Stocks Quarterly Earnings This dataset includes quarterly earnings report data for various stocks. 355,371 rows over 6,406 symbols, 8 columns, covering 1996-01-31 to 2026-07-31. Refreshed monthly. Strategies Built on This Data 490 papers in the Papers With Backtest catalogue declare this dataset as an input. 456 of them have been coded and run over their own full history. The median replicated Sha
Stocks Weekly Earnings Surprise Weekly earnings surprise probabilities and outcomes for publicly traded companies. 2,204,032 rows over 6,067 symbols, 8 columns, covering 2016-12-30 to 2026-07-03. Refreshed monthly. Why It Matters This dataset supplies high-frequency earnings-surprise context for equity strategies by: Pre-event positioning: Surprise probabilities guide sizing and hedging ahead of e
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A community-compiled collection of stock-market-related tweets in English, stored as CSV, hundreds of thousands of posts (CC BY 4.0). Retail chatter feeds sentiment-signal research and market-tone studies.
Indicators of retail investor mood and posting activity are drawn directly from the StockTwits community.
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A sharded Parquet archive of NSE equities and index prices from India spanning 2000 to 2026, covering more than 2,500 tickers and organized into roughly 1.5 GB files for efficient streaming.
7,079 Trading Days | 6 Splits | IPO to $4.49 Trillion
Curated analyst recommendations and updated price targets for Nasdaq 100 constituents, spanning roughly two decades.
A curated dataset of companies listed on the London Stock Exchange
Auditable Apple financial statements, XBRL facts, SEC filings, and company metad
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Insider Trading of Yahoo
Alphabet (GOOGL, GOOG) Quarterly Tables + Prices for Investors & Analysts
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Indian equity market price history covering NSE-listed stocks and indices from 2000 through 2026, offered in Parquet shards of roughly 1.5GB each for efficient streaming on the Hugging Face hub. The collection draws on more than 2,500 tickers and supports both minute-level and end-of-day intervals.
🇮🇳 Indian Stock Market Data: Minute & Daily (2000 - 2026) 📌 Overview This is a high-performance financial dataset containing the historical price history of 2,500+ NSE Stocks and Indices. The dataset has been sharded and optimized for high-speed training. Instead of thousands of tiny files, it is grouped into large ~1.5GB Parquet shards, making it ideal for fast streaming with the Hugging Face dat
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Daily OHLCV data for Alphabet Inc. GOOGL from its IPO to the present day
Compare stock market data such as P/E ratio and ESG scores of Dow 30 companies
🇮🇳 Indian Stock Market Data: Minute & Daily (2000 - 2026) 📌 Overview This is a high-performance financial dataset containing the historical price history of 2,500+ NSE Stocks and Indices. The dataset has been sharded and optimized for high-speed training. Instead of thousands of tiny files, it is grouped into large ~1.5GB Parquet shards, making it ideal for fast streaming with the Hugging Face dat
Designed to aid Nifty50 trading research, this dataset merges financial news, sentiment indicators, and stock market data into a single analysis-ready resource, enabling pipelines that cover news cleaning, impact categorization, FinBERT-based sentiment scoring, and Temporal Fusion Transformer forecasting.
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A daily record of trading activity across multiple major global stock market indices, structured for trend analysis and forecasting work in international equity markets.
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Minute- and daily-resolution price histories for more than 2,500 National Stock Exchange securities and indices from 2000 through 2026 are consolidated into roughly 1.5 gigabyte Parquet shards to enable rapid streaming on Hugging Face infrastructure.
Track the smart money before the market moves
The ESG and Stocks data of S&P 500 Constituent Companies
Including vital parameters, stock history, financial and news with sentiments
Indian stock market price history spanning 2000 to 2026 for over 2,500 NSE-listed stocks and indices, packaged in large Parquet shards around 1.5 GB each for efficient streaming.
Common stocks' daily closing values and trading volumes for quick ML projects
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Daily ticker-level web-traffic engagement for over 25,000 listed companies worldwide, with visits, demographics and ranks plus point-in-time ticker mapping, packaged for quantitative funds.
Market Insights: A 20-Year Exploration of Google Stock Prices (2004-2023)
Visualize and analyze the stock prices of 6 major banks!
Historical NASDAQ stock prices and indices from Apple, Microsoft, NVIDIA...
Publicly-traded U.S. stocks owned by Warren Buffett’s holding company BRK!
The official record of US farming: the Census of Agriculture and hundreds of NASS surveys covering planted acreage, yields, production, stocks, livestock inventories and commodity prices by state, county and commodity, the standard source for agricultural models.
Yearly Crops and Livestock Data: Area, Yield, and production by Country!
Minute-level open-high-low-close-volume bars for Indian equities, hundreds of millions of rows in Parquet under MIT. Gives high-frequency microstructure across the Indian cash market for intraday and market-on-close strategies.
End-of-day figures paired with news-driven analytics such as sentiment, risk, and ESG metrics drawn from worldwide coverage.
15 years of net shareholder capital flow adjusted for executive stock dilution
SEC insider transactions 2006-2026 with stock & insider metadata
LEA Reply™ WMS is an innovative, cloud-native solution designed to manage operational warehouse processes and optimize stock allocation connecting people, machines, systems and goods to enable value creation along the supply chain.
A leak-free, chronologically ordered corpus of 8-K, 10-Q, and 10-K filings for roughly 610 present-day U.S. large-cap companies, each paired with objective forward-return labels through 2026. The release is structured as a benchmark for testing whether filing language can anticipate subsequent stock performance, with clearly separated provenance classes.
S&P 500 earnings-call transcripts in Parquet under MIT, tens of thousands of calls. Independently compiled and comparable to other public transcript corpora for sentiment and tone work.